Implementation of neural network-based real-time process control on IBM Zero Instruction Set Computer (ZISC-036)

Kurosh Madani; Gilles Mercier; Abdennasser Chebira; Sebastian Duchesne

doi:10.1117/12.235917

22 March 1996 Implementation of neural network-based real-time process control on IBM Zero Instruction Set Computer (ZISC-036)

Kurosh Madani, Gilles Mercier, Abdennasser Chebira, Sebastian Duchesne

Author Affiliations +

Proceedings Volume 2760, Applications and Science of Artificial Neural Networks II; (1996) https://doi.org/10.1117/12.235917
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Most of applications on neural adaptive process control are developed on back-propagation or CMAC algorithms. We present here a new approach based on a derivative of Radial Basis Function Network: The Restricted Coulomb Energy (RCE) for a parallel implementation of adaptive process control. The RCE network has been implemented on a single board based on the Zero Instruction Set Computer (ZISC-036) neural processor of IBM. The network learning consists on identification of a real second order process (DC motor with position sensor). We expose the learning and generalization phases of network, then we give simulation and experimental results.

Citation Download Citation

Kurosh Madani, Gilles Mercier, Abdennasser Chebira, and Sebastian Duchesne "Implementation of neural network-based real-time process control on IBM Zero Instruction Set Computer (ZISC-036)", Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); https://doi.org/10.1117/12.235917

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